Hybrid modelling of biological systems: current progress and future prospects

Integrated modelling of biological systems is becoming a necessity for constructing models containing the major biochemical processes of such systems in order to obtain a holistic understanding of their dynamics and to elucidate emergent behaviours. Hybrid modelling methods are crucial to achieve in...

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Detalles Bibliográficos
Autores principales: Liu, Fei, Heiner, Monika, Gilbert, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116374/
https://www.ncbi.nlm.nih.gov/pubmed/35352101
http://dx.doi.org/10.1093/bib/bbac081
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author Liu, Fei
Heiner, Monika
Gilbert, David
author_facet Liu, Fei
Heiner, Monika
Gilbert, David
author_sort Liu, Fei
collection PubMed
description Integrated modelling of biological systems is becoming a necessity for constructing models containing the major biochemical processes of such systems in order to obtain a holistic understanding of their dynamics and to elucidate emergent behaviours. Hybrid modelling methods are crucial to achieve integrated modelling of biological systems. This paper reviews currently popular hybrid modelling methods, developed for systems biology, mainly revealing why they are proposed, how they are formed from single modelling formalisms and how to simulate them. By doing this, we identify future research requirements regarding hybrid approaches for further promoting integrated modelling of biological systems.
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spelling pubmed-91163742022-05-19 Hybrid modelling of biological systems: current progress and future prospects Liu, Fei Heiner, Monika Gilbert, David Brief Bioinform Review Integrated modelling of biological systems is becoming a necessity for constructing models containing the major biochemical processes of such systems in order to obtain a holistic understanding of their dynamics and to elucidate emergent behaviours. Hybrid modelling methods are crucial to achieve integrated modelling of biological systems. This paper reviews currently popular hybrid modelling methods, developed for systems biology, mainly revealing why they are proposed, how they are formed from single modelling formalisms and how to simulate them. By doing this, we identify future research requirements regarding hybrid approaches for further promoting integrated modelling of biological systems. Oxford University Press 2022-03-30 /pmc/articles/PMC9116374/ /pubmed/35352101 http://dx.doi.org/10.1093/bib/bbac081 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Review
Liu, Fei
Heiner, Monika
Gilbert, David
Hybrid modelling of biological systems: current progress and future prospects
title Hybrid modelling of biological systems: current progress and future prospects
title_full Hybrid modelling of biological systems: current progress and future prospects
title_fullStr Hybrid modelling of biological systems: current progress and future prospects
title_full_unstemmed Hybrid modelling of biological systems: current progress and future prospects
title_short Hybrid modelling of biological systems: current progress and future prospects
title_sort hybrid modelling of biological systems: current progress and future prospects
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116374/
https://www.ncbi.nlm.nih.gov/pubmed/35352101
http://dx.doi.org/10.1093/bib/bbac081
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